AI to predict anesthesia reactions in new study
NCT ID NCT07536230
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tests a computer program that learns from patient data to predict how the body will respond during anesthesia. Researchers will check if the AI can accurately forecast changes in brain activity and vital signs. 115 adults having planned surgery will take part. The goal is to improve safety by spotting problems before they happen.
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Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 115 people
The number the study aims to enrol. It can still change while the study runs.
- Expected to start
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Jun 2026
An estimate. Start dates often move.
- Expected to finish
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Sep 2026
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Patients undergoing general anesthesia under continuous depth of anesthesia monitoring.
- Ages
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Children (under 18), adults (18 to 64) and older adults (65 and over)
- Sex
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Anyone
- Healthy volunteers
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Accepted
You do not need to have the condition being studied to take part.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Patients scheduled for elective surgery requiring general anesthesia. * Procedures requiring continuous depth of anesthesia monitoring (BIS). Exclusion Criteria: \- Procedures where the primary anesthetic plan does not involve continuous electronic data capture.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
1 site. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
Locations
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AZ Sint-Jan AV
Bruges, 8000, Belgium
More trials for these conditions
Other studies related to the condition(s) this trial covers.
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- AI reads heart ultrasound at the bedside: a test for faster detection of weak heart pumping
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